General Information



Position

QA Manager | Poland



Work arrangement

Full-time



City

Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow, Szczecin, Warsaw, Wroclaw



Country

Poland



Department

Consulting



Team

Customer



Area of interest

Digital, ERP Platforms, IT - Development, IT - Services, Project & Programme Management, Quality Management, Research & Development



Way of work

Hybrid




Description & Requirements




Who we are looking for



Do you have hands-on experience designing and building scalable test automation frameworks using modern technologies such as Playwright and TypeScript?



Are you passionate about leveraging AI across the software delivery lifecycle and driving innovation in Quality Engineering?



Can you take ownership of quality outcomes, delivery timelines and technical direction while effectively communicating with senior stakeholders, including C-level executives?



Do you enjoy working closely with developers, architects and product teams to embed quality throughout the development lifecycle rather than treating testing as a final phase?



If you're motivated by combining technical leadership, AI-driven innovation, Quality Engineering excellence and delivery ownership within an international Digital Team, we'd love to meet you.




What We Expect From You


Essential

• Extensive experience in Test Automation, Quality Engineering or Software Development in Test (SDET)


• Strong expertise in JavaScript and TypeScript


• Hands-on experience with Playwright and modern UI automation frameworks


• Experience designing, developing and maintaining scalable automation frameworks


• Strong understanding of API testing and modern web application architectures


• Practical experience with Python for automation, tooling, AI integration and test data generation


• Experience with Docker and containerized environments


• Strong understanding of CI/CD pipelines and DevOps practices


• Experience driving quality strategy across all testing layers


• Excellent stakeholder management and communication skills


• Ability to take end-to-end ownership of timelines, quality objectives and delivery outcomes


• Experience working closely with product, engineering and architecture teams


• Strong analytical and problem-solving skills


• Ability to balance technical excellence with business priorities


• Experience mentoring and guiding engineers and quality teams in technical best practices


• Strong understanding of Agile delivery methodologies


• Very good English communication skills


• EU residency

AI & Quality Engineering

• Experience working in AI-enabled software delivery environments


• Understanding of AI-assisted software development and testing practices


• Ability to direct and leverage testing agents and AI-powered engineering tools


• Experience generating and validating AI-generated test assets and outputs


• Ability to assess quality risks associated with AI-driven development


• Passion for exploring and implementing emerging AI-driven Quality Engineering practices


• Strong critical thinking and independent quality judgement when evaluating AI-generated solutions

Nice to Have

• Experience with cloud platforms (AWS, Azure or GCP)


• Experience with Kubernetes


• Experience with performance and load testing


• Experience with security testing


• Experience with semantic testing approaches


• Experience with mutation testing


• Experience with property-based testing


• Experience with AI agents and agent-based workflows


• ISTQB certification


• German language skills

Your future role



As a
QA Manager , you will act as a technical quality leader within an AI-first delivery environment, combining hands-on Quality Engineering expertise with delivery ownership and stakeholder management.


Technical & Quality Leadership

• Define and drive Quality Engineering strategy across the project


• Design and evolve scalable test automation frameworks using Playwright and TypeScript


• Establish testing standards, automation architecture and quality best practices


• Ensure effective integration of automated testing into CI/CD pipelines


• Promote engineering excellence, maintainability and reusable automation solutions


• Support technical decision-making across testing and quality domains


• Drive adoption of modern Quality Engineering practices across the team

AI-First Quality Engineering

• Build and shape an AI-first QA capability skilled in directing testing agents, generating test data and validating AI-generated outputs


• Drive adoption of AI-powered approaches across software development and testing activities


• Lead QA innovation initiatives, including evaluation and validation of approaches such as semantic snapshots, agentic property-based testing and AI-driven mutation testing


• Identify opportunities to leverage AI to improve delivery quality, efficiency and engineering productivity


• Ensure teams maintain independent quality judgement and effectively challenge AI-generated tests and recommendations

Delivery Ownership & Stakeholder Management

• Take end-to-end ownership of project timelines from a quality perspective


• Support planning, execution, risk management and quality governance activities


• Communicate delivery progress, risks, dependencies and quality outcomes to senior stakeholders and C-level audiences


• Drive quality-related decision making throughout the software delivery lifecycle


• Ensure release readiness and alignment between quality objectives and business goals

Embedding Quality Across Delivery

• Embed Quality Engineering practices throughout the entire software development lifecycle


• Partner with developers and product teams to define executable acceptance criteria before implementation starts


• Promote Shift-Left Testing and Test-Driven Development practices


• Coach teams to uncover missing scenarios, challenge assumptions and assess business risks


• Strengthen a culture of quality ownership across engineering and product teams


• Continuously improve testing approaches, automation capabilities and quality processes

What we offer




Why Join Us




AI-First Project : Work on a project where AI is embedded throughout the entire software delivery lifecycle, not just within testing.




Innovation & Impact : Help shape the future of Quality Engineering through AI-enabled delivery and modern testing practices.




Modern Technology Stack : Playwright, TypeScript, Python, Docker, AI-powered engineering tools and cloud-native development practices.




International Environment : Collaborate with global teams, architects, engineering leaders and business stakeholders.




Strategic Role : Influence technical direction, delivery outcomes and product quality at scale.




Continuous Learning : Work with emerging AI technologies and next-generation engineering approaches in a rapidly evolving environment.




Selection process



1. HR Interview (15 minutes).

2. Technical interview (approx. 45 minutes)

3. Professional interview with Team Leaders (approx. 45 minutes)

4. Technical task (approach and execution of automation tests)

5. Final interview with Project Leadership about task results (approx. 45 minutes)



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